Numerical linear algebra

Results: 2469



#Item
31Mathematical optimization / Numerical analysis / Operations research / Mathematics / Mathematical analysis / Mathematical modeling / Computer algebra systems / Global optimization / Mathematical model / Nl / Linear programming / Optimization Toolbox

Mathematical Optimization at BASF - A Quarter Century and More... Josef Kallrath BASF SE Scientific Computing GMC/MS-B009, 67056 Ludwigshafen, Germany e-mail:

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Source URL: or2015.univie.ac.at

Language: English - Date: 2015-07-09 02:41:35
32Algebra / Linear algebra / Mathematics / Matrix theory / Matrices / Numerical linear algebra / Mathematical physics / Singular value decomposition / Matrix / Orthogonal matrix / Tridiagonal matrix / Symmetric matrix

THE BETA-JACOBI MATRIX MODEL, THE CS DECOMPOSITION, AND GENERALIZED SINGULAR VALUE PROBLEMS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We provide a solution to the β-Jacobi matrix model problem

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Source URL: faculty.rmc.edu

Language: English - Date: 2007-08-01 16:16:47
33Algebra / Mathematics / Linear algebra / Numerical linear algebra / Sparse matrices / Parallel computing / Matrix multiplication / Multiplication / Matrix / Hypergraph / Sparse matrix / Graph partition

Sparse Matrix-Matrix Multiplication: Applications, Algorithms, and Implementations Organizers: Grey Ballard and Alex Druinsky SIAM Conference on Applied Linear Algebra October 26, 2015

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Source URL: www.sandia.gov

Language: English - Date: 2015-12-15 18:34:11
34Computing / Cache / Computer hardware / Computer memory / Computer engineering / Central processing unit / Computer architecture / Numerical software / CPU cache / Basic Linear Algebra Subprograms / Cache-oblivious algorithm / Page

Seven at One Stroke: Results from a Cache-Oblivious ∗ Paradigm for Scalable Matrix Algorithms Michael D. Adams David S. Wise

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Source URL: michaeldadams.org

Language: English - Date: 2012-07-27 19:30:16
35Mathematics / Numerical analysis / Applied mathematics / Numerical linear algebra / Matrix / Academia / Interval arithmetic / Sparse matrix

Verified solutions of sparse linear systems Takeshi Ogita Division of Mathematical Sciences, Tokyo Woman’s Christian University 2–6–1 Zempukuji, Suginami-ku, Tokyo 167–8585, Japan

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Source URL: conf.nsc.ru

Language: English - Date: 2012-05-30 00:24:49
36Algebra / Abstract algebra / Eigenvalues and eigenvectors / Linear algebra / Matrix theory / Singular value decomposition / Numerical linear algebra

Curriculum Vitae Jose E. Roman D. Sistemes Inform` atics i Computaci´ o Universitat Polit`ecnica de Val`encia

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Source URL: users.dsic.upv.es

Language: English - Date: 2016-07-09 06:46:12
37Algebra / Mathematics / Multivariate statistics / Numerical analysis / Numerical linear algebra / Iterative methods / Dimension reduction / Principal component analysis / Singular value decomposition / Stochastic optimization / Nonlinear dimensionality reduction / Sparse dictionary learning

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
38Numerical analysis / Numerical linear algebra / Mathematics / Theoretical computer science / Preconditioner / Graph partition / Basic Linear Algebra Subprograms / Sparse matrix / Iterative method

PSBLAS 2.4 & MLD2P4 1.2: Sparse Computations and Iterative Solvers on Parallel Computers PSBLAS 2.4 &

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Source URL: people.uniroma2.it

Language: English - Date: 2014-10-09 08:41:31
39Algebra / Linear algebra / Mathematics / Matrices / Numerical linear algebra / Matrix theory / Matrix / Diagonal matrix / Triangular matrix / Symplectic matrix / Conjugate transpose

EE103/CME103: Introduction to Matrix Methods OctoberS. Boyd Midterm Exam

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Source URL: stanford.edu

Language: English - Date: 2015-10-22 14:39:52
40Linear algebra / Rank / Matrix / Matrix theory

Assignment 4 Randomization in Numerical Linear Algebra (PCMI) 1. We will prove a structural inequality that can be used as a starting point in many RandNLA algorithms. More specifically, we will prove the following lemma

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Source URL: www.drineas.org

Language: English - Date: 2016-07-02 06:19:59
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